{"id":"W4394266463","doi":"10.6084/m9.figshare.15000384","title":"A Human Mobility Dataset Collected via LBSLab","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004600008,0.001426686,0.0008986206,0.002210756,0.0008020579,0.0008379463,0.001479458,0.001538025,0.008969316],"category_scores_gemma":[0.002060723,0.0002370772,0.0008317933,0.003529977,0.000338612,0.0006978652,0.001654134,0.0009464131,0.01605411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007963554,"about_ca_system_score_gemma":0.001054098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03979902,"about_ca_topic_score_gemma":0.07574158,"domain_scores_codex":[0.9992589,0.0001496521,0.00010378,0.0001742997,0.0001934344,0.000119893],"domain_scores_gemma":[0.9990799,0.0001454256,0.00008263837,0.0002132045,0.0003255662,0.0001531419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003308693,0.0002416283,0.01554343,0.001080854,0.0001076934,0.0003241364,0.0002900673,0.001310764,0.0008249463,0.0007755597,0.9594663,0.01970373],"study_design_scores_gemma":[0.0003089632,0.0002345521,0.1400572,0.0005588132,0.00009759171,0.0008356721,0.001501499,0.005912588,0.001930144,0.001632331,0.84677,0.0001606747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.008000649,0.0002573566,0.0005532746,0.000254885,0.00008390206,0.00009596502,0.9881198,0.0007914428,0.001842753],"genre_scores_gemma":[0.008159976,0.000124613,0.001070767,0.00008680762,0.00002258745,0.0002326542,0.9890343,0.00003451616,0.00123384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03979902,"threshold_uncertainty_score":0.07913476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05319468104226057,"score_gpt":0.3505787161862939,"score_spread":0.2973840351440333,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}